Statsmodels is a Python module that allows users to explore data, estimate statistical models, and perform statistical tests.
I have a .csv file containing a 5-year time series, with hourly resolution (commoditiy price). Based on the historical data, …
python forecasting statsmodelsI try to use the add_constant() function with an array of dataset. At index 59 it works (the column is …
python-3.x statsmodelsI am trying to make QQ-plots using the statsmodel package. However, the resolution of the figure is so low that …
python matplotlib statsmodelsSo I have a CSV file with two columns: date and price, but when I tried to use ARIMA on …
python pandas time-series statsmodels arimaI have a data frame like this: Index ID Industry years_spend asset 6646 892 4 4 144.977037 2347 315 10 8 137.749138 7342 985 1 5 104.310217 137 18 5 5 156.593396 2840 381 11 2 229.538828 6579 883 11 1 171.380125 1776 235 4 7 217.734377 2691 361 1 2 148.865341 815 110 15 4 233.309491 2932 393 17 5 187.281724 I want to create dummy variables for …
python pandas statsmodels patsyWhen it comes to measuring goodness of fit - R-Squared seems to be a commonly understood (and accepted) measure for "…
python regression linear-regression statsmodelsI am looking for influence statistics after fitting a linear regression. In R I can obtain them (e.g.) like …
python scikit-learn linear-regression statsmodelsI run the OLS.fit() and use the fitted model to get the f value for a particular category like …
python statsmodels fstatI want to build a Random Forest Regressor to model count data (Poisson distribution). The default 'mse' loss function is …
python-3.x scikit-learn random-forest statsmodels poisson